Sr Data Scientist

Date: Nov 19, 2024

Location: GRAND RAPIDS, MI, US

Company: Consumers Energy

Join the diverse and dynamic team that powers Michigan's largest energy provider and one of the nation's largest gas and electric combination utilities.  Consumers Energy services 6.8 million of Michigan's 10 million residents - caring for our friends and neighbors in all 68 Lower Peninsula counties.  We embrace a cleaner and leaner utility vision focused on eliminating energy waste and adding renewable energy from sources such as wind and solar.

 

Location:

The successful candidate will be expected to work in a hybrid status of reporting to any Consumers Energy Service Center every Monday, Tuesday, and Thursday with home office flexibility on Wednesday and Friday.
 

We are looking for: Senior Data Scientist

 

The Senior Data Scientist will analyze large and complex datasets and lead support for the data output process. They are responsible for developing and maintaining data models and tools to support business needs. The incumbent will work with the business to establish requirements and data requests for analytical strategic projects. They should have an active understanding of the business needs of organizations and the ability to solve complex business problems by generating actionable insights using various methods.
 

 

  • Ability to compile, clean, organize, interpret, and communicate data and results concisely
  • Ability to use logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems
  • Excellent communication skills both written and verbal
  • Knowledge and understanding of data modeling, machine learning algorithms, statistical analysis, data visualization, and data engineering
  • Process management skills
  • Project management knowledge, ability to identify the project/business requirements
  • Strong acumen in quantitative analytics and structured problem solving
     

We encourage you to apply if you have:

  • Associate’s degree in data science, information technology, data analysis, or related field with four (4) or more years of applicable experience
  • [OR] High School Diploma with six (6) or more years of applicable experience
     
  • Experience in data science, statistical analysis and modelling data using leading Artificial Intelligence and big data tools (e.g. TensorFlow, Python, Azure SQL Server & ML Studio, Databricks, Power BI, etc.)
  • In depth experience in data analyst, data modeling and understanding business needs

 

Preferred skills:

  • Bachelors Degree and/or Masters Degree
  • Certified Analytics Professional Certification

 

In this role, you will:

  • Communicate data science outputs and support the creation of models and solutions that provide insights for the business to interpret and execute successfully
  • Lead and conduct complex analytics initiatives from ideation through production and adoption by using models and have an understanding of the life cycle of an analytics initiative and the common pitfalls
  • Prioritize business initiatives and structure projects for optimum success taking into consideration budget, head count, and regulatory requirements
  • Responsible for planning, organizing, and controlling data resources/processes to achieve complex project/program objectives within scope, time, quality, and budget constraints by extracting data from primary dataset and business tools
  • Build advanced analytical models utilizing statistical and machine learning knowledge
  • Work with subject matter experts to build domain knowledge that can be applied to predictive and prescriptive analytics projects
  • Build visualizations to turn data science outputs into digestible and actionable results for business partners
  • Other duties as assigned or may be necessary

Why should you join our team?

At Consumers Energy, we offer more than just a place to work. We foster a culture that supports career development, growth, and stability, and we take pride in offering our co-workers excellent benefits and compensation packages. We are deliberately creating an inclusive culture that makes our diverse team of co-workers feel valued, supported, and empowered every day. We're a company made up of thousands of people, all with different stories to share and work to do, but we stand united in our company purpose: world class performance delivering hometown service.

What we offer:

  • Competitive compensation packages
  • Medical, Dental and Vision
  • 401k with company match
  • Paid parental leave
  • Up to 13 paid Holidays
  • Paid time off
  • Educational Assistance Program

Diversity, Equity & Inclusion: 

We, at CMS Energy, value Diversity, Equity, & Inclusion. It is part of our DNA. We treat our employees with respect, we treat each other fairly and we value the opinions of others. We are passionate about building and nurturing an environment where everyone feels included. We don’t discriminate. We seek to learn about each other and better understand our unique differences. Our uniqueness makes us authentic. We create safe spaces where everyone can be who they truly are. We invite difficult conversations and uncomfortable topics. We value diverse perspectives; this is what makes us great together. We harbor an inclusive environment where employees feel empowered to share their backgrounds, experiences, and ideas. Our Employee Resource Groups, Women’s Advisory Panel (WAP), Women’s in Energy (WE), Minority Advisory Panel (MAP), Pride Alliance of Consumers Energy (PACE), GENERGY, capable, Interfaith and Veterans Advisory Panel (VAP) are key enablers to living the values of our company culture: Caring, Empowered, Deliberate, Agility, and Ownership.

All qualified applicants will not be discriminated against and will receive consideration for employment without regard to protected veteran status, disability, race, color, religion, sex, age, sexual orientation, gender identity or national origin.


Nearest Major Market: Grand Rapids

Job Segment: Statistics, Data Analyst, Database, Scientific, Senior Scientist, Data, Technology, Engineering, Science